Plenary Speech VII
Time: 11:00 ~ 11:50
Location: Room 220, 2F of Engineering Bldg. 5
| Fuzzy Logic for Brain-Computer Interfaces
Prof. Dongrui Wu Huazhong University of Science and Technology, Wuhan, China. |
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Abstract:
A brain-computer interface (BCI) enables direct communication between the brain and external devices. It can be used to research, enhance or repair human cognitive and sensory-motor functions. Electroencephalograms (EEGs) used in BCIs are weak, easily contaminated by interference and noise, non-stationary for the same subject, and varying across different subjects and sessions. Thus, sophisticated machine learning approaches are needed for accurate and reliable EEG decoding. This talk introduces how fuzzy logic can be used to conveniently extend classification algorithms in EEG-based BCIs to regression.
Biography:
Dongrui Wu (IEEE Fellow) received a B.E in Automatic Control from the University of Science and Technology of China, Hefei, China, in 2003, an M.Eng in Electrical and Computer Engineering from the National University of Singapore in 2006, and a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now Professor and Deputy Director of the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
Prof. Wu’s research interests include brain-computer interface, machine learning, computational intelligence, and affective computing. He has more than 200 publications (15000+ Google Scholar citations; h=65). He received the IEEE Computational Intelligence Society Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the IEEE Systems, Man and Cybernetics Society Early Career Award in 2017, the USERN Prize in Formal Sciences in 2020, the IEEE Transactions on Neural Systems and Rehabilitation Engineering Best Paper Award in 2021, the Chinese Association of Automation (CAA) Early Career Award in 2021, the Ministry of Education Young Scientist Award in 2022, and First Prize of the CAA Natural Science Award in 2023. His team won National Champion of the China Brain-Computer Interface Competition in four successive years (2021-2024). Prof. Wu is the Editor-in-Chief of IEEE Transactions on Fuzzy Systems.